Triple

T9396756
Position Surface form Disambiguated ID Type / Status
Subject Venus and Mars E226161 entity
Predicate track P17929 FINISHED
Object Venus and Mars E43664 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Venus and Mars | Statement: [Venus and Mars, track, Venus and Mars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venus and Mars
Context triple: [Venus and Mars, track, Venus and Mars]
  • A. Venus and Mars chosen
    "Venus and Mars" is a 1975 rock album by Paul McCartney and Wings, known for its melodic pop-rock style and serving as the follow-up to the hugely successful "Band on the Run."
  • B. Venus
    Venus is the second planet from the Sun, known for its dense, toxic atmosphere, extreme surface temperatures, and bright visibility in Earth's sky.
  • C. Venus
    Venus is the Roman goddess of love, beauty, and fertility, often depicted as the divine ancestor and protector of Aeneas and the Roman people.
  • D. Venus
    Venus is a Procter & Gamble personal care brand best known for its women's razors and shaving products.
  • E. Venus
    "Venus" is a pop studio album by Swedish singer Zara Larsson, showcasing her polished, dance-oriented sound and contemporary songwriting.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca842f7e3481908bf5bcf52e032dbd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51528b2481908ca1f1840d2594b4 completed April 1, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2817858008190b150417f9ef59b48 completed April 5, 2026, 3:36 p.m.
Created at: March 30, 2026, 7:46 p.m.